Bioinspired design and validation of a soft robotic end-effector with integrated shape memory alloy-driven suction capabilities

The exploration of adaptive robotic systems capable of performing complex tasks in unstructured environments, such as underwater salvage operations, presents a significant challenge. Traditional rigid grippers often struggle with adaptability, whereas bioinspired soft grippers offer enhanced flexibility and adaptability to varied object shapes. In this study, we present a novel bioinspired soft robotic gripper integrated with a shape memory alloy (SMA) actuated suction cup, inspired by the versatile grasping strategies of octopus arms and suckers. Our design leverages a tendon-driven composite arm, enabling precise bending and adaptive grasping, combined with SMA technology to create a compact, efficient suction mechanism. We develop comprehensive kinematic and static models to predict the interaction between arm bending deflection and suction force, thereby optimizing the gripper's performance. Experimental validation demonstrates the efficacy of our integrated design, highlighting its potential for advanced manipulation tasks in challenging environments. This work provides a new perspective on the integration of bioinspired design principles with smart materials, paving the way for future innovations in adaptive robotic systems.

Authors

Institutions

Publication Details

Journal
Bioinspiration & Biomimetics
Published
2024-11-15
DOI
https://doi.org/10.1088/1748-3190/ad936e
Citations
1
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.18

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bioinspired design and validation of a soft robotic end-effector with integrated shape memory alloy-driven suction capabilities

Chanchan Xu, Guisong Chen, Weimian Zhou, Xiaojie Wang
1 citations
Bioinspiration & Biomimetics
Soft Robotics and Applications
0.18
article

Bioinspired design and validation of a soft robotic end-effector with integrated shape memory alloy-driven suction capabilities

Chanchan Xu, Guisong Chen, Weimian Zhou, Xiaojie Wang
article en
1 citations

Abstract

The exploration of adaptive robotic systems capable of performing complex tasks in unstructured environments, such as underwater salvage operations, presents a significant challenge. Traditional rigid grippers often struggle with adaptability, whereas bioinspired soft grippers offer enhanced flexibility and adaptability to varied object shapes. In this study, we present a novel bioinspired soft robotic gripper integrated with a shape memory alloy (SMA) actuated suction cup, inspired by the versatile grasping strategies of octopus arms and suckers. Our design leverages a tendon-driven composite arm, enabling precise bending and adaptive grasping, combined with SMA technology to create a compact, efficient suction mechanism. We develop comprehensive kinematic and static models to predict the interaction between arm bending deflection and suction force, thereby optimizing the gripper's performance. Experimental validation demonstrates the efficacy of our integrated design, highlighting its potential for advanced manipulation tasks in challenging environments. This work provides a new perspective on the integration of bioinspired design principles with smart materials, paving the way for future innovations in adaptive robotic systems.

Bioinspiration & BiomimeticsVol. 20(1)
University of Science and Technology of China (CN), Hefei Institutes of Physical Science (CN), Institute of Intelligent Machines (CN), Changzhou Academy of Intelli-Ag Equipment (China) (CN), Changzhou University (CN), Intelligent Machines (Sweden) (SE)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 51%
Soft Robotics and Applications
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.